Displacement Tracking Matrix (DTM) – Hurricane Matthew Response
Round 3 – December 15, 2016
Hurricane Matthew Response
DISPLACEMENT TRACKING MATRIX (DTM) Haiti—Hurricane
DISPLACEMENT
TRACKING
Matthew
Response MATRIX (DTM) - HAITI
Round 1—28 November 2016
ROUND 3 REPORT
15 DECEMBER 2016
HIGHLIGHTS & CURRENT STATUS
692 evacuation shelters have been inventoried. Of these, 349 have been assessed by DTM teams.
Registration data is currently available for 76 sites.
A total of 3,996 households (representing 17,748 individuals) have been registered in 76
evacuation centres.
A reported 3,014 individuals (17.0%) of the 17,748 individuals registered present various
vulnerabilities.
58.2% of households interviewed have reported that their house has been destroyed while 31.4%
have indicated that their house had been severely damaged by the hurricane
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Displacement Tracking Matrix (DTM) – Hurricane Matthew Response
Round 3 – December 15, 2016
CONTEXT
Hurricane Matthew, a category 4 Hurricane, made landfall in the Western part of Haiti on 4 October, causing severe damage in
the southern peninsula and in areas of the North of the country, particularly the departments of Sud, Grande Anse, Nippes and
Nord Ouest. As a result of the hurricane, many households took refuge in locally designated evacuation centers as well as other
buildings which have served as evacuation centers. The Haitian Ministry of Interior estimated that 175,000 persons were
sheltering in 307 evacuation centers in the Departments of Grande Anse and Sud.
IOM recognizes the importance of having timely and accurate information on the displaced population living in the hurricane
affected departments to advise both the humanitarian response and plan an effective recovery. The Displacement Tracking
Matrix (DTM), has been designed to identify the most pressing needs following hurricane Matthew in the departments of
Grande Anse, Sud, and Nippes. IOM will use various DTM tools to collect, analyze and disseminate information. The
information produced by the DTM will be shared with all relevant stakeholders through regular reports, factsheet, maps and
tables and will include data on:
1.
2.
3.
4.
5.
6.
Overall situation and damage assessment of the areas affected by hurricane Matthew
Shelter assessments and registration of displaced population (inventory of all evacuation shelters in use and
registration of their population)
Mapping of affected areas with building inventory and status (damaged, partially damaged, severely damaged,
destroyed or not damaged)
Demographics, vulnerabilities, and socio-economic profile of the displaced populations linked to the inventoried
buildings.
Population movement trends and tracking of the displacement
Sectoral needs, gaps, and service provisions to the displaced populations
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Displacement Tracking Matrix (DTM) – Hurricane Matthew Response
Round 3 – December 15, 2016
Estimated damage assessment using UNOSAT evaluation and percentage of population in affected communes in Grand Anse
and Sud (estimated 210,000 households of which 120,000 are affected)
DAMAGE ASSESSMENT
The DTM is currently using damage assessments based on evaluations carried out by various expert partners in the field of
cartography such as UNOSAT, Copernicus and NGA satellite data. UNOSAT has undertaken an analysis of the damage sustained
by the departments most affected by the hurricane, using satellite images after the hurricane and comparing them with earlier
images to determine the scope of the damage and estimate the number of damaged structures. The information was
triangulated and punctually verified through the use of UAV imagery (drone) to ascertain the information produced by
satellite. The shaded areas in the map above represent the damage percentage—which has been color coded from yellow (a
10% damage evaluation) to light orange (30% damage evaluation), bright orange (70% damage) and red (100% damage).
The DTM has also paired the aforementioned evaluations with existing information and data, such as the building inventory
carried out on the entire country by the National Institute of Statistics (IHSI in French). The building inventory was carried out
in geographical areas (census block units) used for censuses, surveys and data collection purposes, called Enumeration Section
(SDE in French).
The current available data was extrapolated taking into account the wind speed during the passage of the hurricane to further
elaborate the damage assessment. Areas that registered winds of 160 to 180 mph have been found to be areas with a
maximum of damage (between 70% to 100 % of damage) while areas to have experienced 70 to 110 mph winds registered less
damage (between 10 to 30% damage). Damage per SDE has also been estimated and it has been determined that the average
damage level per SDE is 74%.
Based on IHSI’s population data from 2015, a total of 211,528 households reside in 175,634 buildings in 1,151 SDE units in the
departments of Grande Anse and Sud (with an estimation of 1.2 households per building). Extrapolating the damages assessed
to the estimated population, an estimated 124,866 households have been directly affected by damages sustained to the
buildings where they are residing.
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Displacement Tracking Matrix (DTM) – Hurricane Matthew Response
Round 3 – December 15, 2016
METHODOLOGY
The DTM is carried out in 3 independent and simultaneous modules, from the broadest image to the most precise, from the
smallest geographical division – the section communale – to the locality/zones, to the evacuation centers assessment and
registration – and to the building inventory and registration of the affected households in localities. All the activities carried out
within this DTM are supported by damage analysis from existing satellite imagery (UNOSAT) which is complemented at the micro
level by drone imagery undertaken by IOM teams and its partners. Using aerial images and geographical and satellite preliminary
damage assessment, overlaid with official statistical information provided by Section d’ Enumeration (SDE), the DTM is
implemented as follows:
Module 1
•Baseline Area Profiling
by Section Communal
•Baseline Location
Profiling by locality
•Displacement Tracking
Module 2
•Evacuation centers
•Emergency registration
of evacuation cetners for
relocation/return
Module 3
•Priority Areas indicated
by the GoH
•SDE Building Inventory
•SDE Household
Registration
1. Module 1: Baseline Location and Area Profiling
Baseline Area Profile is carried out in order to establish a database of IDPs and displacement patterns within the departments
affected by the hurricane, using the smallest official geographical subdivision available in Haiti, the section communale.
Following the baseline area profiling, detailed information by locality/neighborhood is collected. Information gathered in each
section communale firstly and on each locality and neighborhood, secondly, includes estimations of affected population
disaggregated by household living in homes and out of homes, as well as detailed information on building damages and
evacuation centers. The information is collected through local key informants from the local government (ASEC and CASEC,
Mayors) and other local communal organizations.
2. Module 2: Evacuation Center/Site Assessment and Registration
In-depth site assessments will be undertaken independently. Through field visits, observation, physical counts and key informant
interviews, all evacuation centers identified before and after the hurricane and confirmed through Module 1, will be targeted for
Evacuation Site Assessment. The DTM Evacuation Center/Site Assessment component contains a master list of information on
the displaced population as well as additional information on multi-sectoral needs and services (Shelter, NFI, WASH, Food and
Nutrition, Health, Education, etc...). Information on GBV and Counter Trafficking is also collected. Simultaneously, systematic
registration is carried out in evacuation centers and disaggregated information on demographics, special needs, previous
residence, damage assessment of residence amongst other is collected.
3. Module 3: Building Inventory and Household Registration in Locality/SDE
Independently of the aforementioned modules, the registration in localities is carried out based on priority areas pre-identified
by the GoH. The registration contains 2 steps: 1) The building and plot inventory and cartography and 2) The household
registration at SDEs level.
The building inventory consists in the cartography and listing of all buildings housing the affected population. This step will
include a basic damage assessment of each building/plot, as well as preliminary basic information on the household residing on
the building/plot (aiming at identifying displacement within host communities).
In conjunction with the building/plot inventory, IOM teams, in collaboration with communal DPC representatives, will proceed
with the individual emergency identification, registration and monitoring of affected households through face to face interviews.
The information collected includes data relevant to all sectors of humanitarian assistance and as such, will flag urgent needs,
improve geographical coverage by partners and will contain detailed information on each household (demographics, location,
housing status and protection indicators)
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Displacement Tracking Matrix (DTM) – Hurricane Matthew Response
Round 3 – December 15, 2016
MODULE 1: Population movement trends
This map presents population movement trends (displacement and return) observed in the Grande Anse and Sud departments.
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Displacement Tracking Matrix (DTM) – Hurricane Matthew Response
Round 3 – December 15, 2016
MODULE 2: Shelter Profiling
A – Main shelter profiling findings
IOM has carried out an inventory of 6921evacuation shelters, conducted a profiling exercise in 349 and registered 761 of these
shelters.
The shelters assessed and profiled by IOM are housing 9,593 households equivalent to 38,858 persons. It is important to note
that aforementioned population figures are partial data corresponding to 181 sites (data available at publication of report).
Overview of shelter assessments
Typology of profiled shelters
2.6%
Evacuation Shelters Grande-Anse
Sud
Nippes
8.7%
Inventoried
282
265
145
Profiled
Registered (open)
165
45
97
24
89
9
Closed
90
52
45
11.9%
Public Building
Private Residence
Church
19.8%
57.0%
School
Other
Closure of shelters
Based on reports from field partners, departmental authorities and physical observation of the evacuation shelters that were
opened following Hurricane Matthew 187 shelters have since closed: 90 were located in Grande Anse, 52 were in Sud and 45
were in Nippes.
Following IOM’s assessments in the localities where these shelters were situated, the reasons for their closure can be
summarized below:



111 evacuation shelters have closed spontaneously (information on shelter closure provided by community leaders in
the shelters): 19 in Sud, 48 in Grande Anse and 44 in Nippes
47 evacuation shelters for which the closure reason is unknown (under investigation by IOM and DPC teams): 20 in
Sud, 26 in Grande Anse and 1 in Nippes
29 forced closures: 13 in Sud and 16 in Grande Anse.
Overview of shelter closure reason
25.1%
15.5%
Forced Closure
Spontaneous
Closure
Under
investigation
59.4%
1The
figures presented in this report are being cross-checked with DPC available data and will be harmonized every week
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Displacement Tracking Matrix (DTM) – Hurricane Matthew Response
Round 3 – December 15, 2016
MODULE 2: Shelter Profiling
B – Sectoral Assessments
This section presents the findings of needs assessments carried out during the evacuation shelters profiling phase. Data
collection is ongoing and the figures below refer to the evacuation shelters where data collection has been completed.
WATER, SANITATION AND HYGIENE (WASH)
Functioning Latrines and Water Source
The affected population residing in 59 of the 97 shelters in which data collection has been completed has indicated having
access to functioning latrines (60.8%) while 38 did not have access to functioning toilets (39.2%).
Availability of functioning toilet
Not
Functioning
39.2%
Functioning
60.8%
Separated latrines and bathing areas
Within 75 evacuation shelters where data collection on latrines has been completed, residents of 33 shelters (44.0%), have
indicated having access to gender separated latrines while 42 have indicated not having access to gender separated latrines
(56.0%). In addition, residents of 10 evacuation shelters have indicated having access to gender separated bathing areas
(13.5%) while 64 have reported not having access to gender separated bathing areas (86.5%).
Availability of separated latrines
Available
44.0%
Not
available
56.0%
Availability of separated bathing areas
Available
13.5%
Not
Available
86.5%
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Displacement Tracking Matrix (DTM) – Hurricane Matthew Response
Round 3 – December 15, 2016
MODULE 2: Shelter Profiling
HEALTH
Prevalence of health problems
Residents in 66 shelters have reported a variety of health issues. Particularly, in 34 of these shelters (51.5 %), the affected
population indicated that Malaria was the most prevalent health issue. In another 10 shelters (15.2 %) it was reported that
flu-like illness was the most prevalent problem. Cholera was reported as being the most common health issue in another 11
shelters (16.7 %). Other illnesses cited as most prevalent have included malnutrition (4.5% of responding shelters), skin
infections (in 6.1% of sites), genital infections (1.5 %) and diarrheal and gastrointestinal diseases (4.5%).
Most prevalent health problem in shelters
Skin infections
Skin infections
4
Malnutrition
Malnutrition
3
Malaria
Genital infections
1
Cholera
Diarrheal and gastro-intestinal
diseases
3
1
4
Flu-like diseases
10
Diarrheal and gastro-intestinal
diseases
6
Malaria
34
Flu-like diseases
Genital infections
Second most prevalent health problems in shelters
Cholera
11
22
2
4
5
EDUCATION
Access to education
Of 75 shelters with complete information, children residing in 15 evacuation shelters (20.0 %) are enrolled in school while
children in 60 shelters (80.0 %) are not currently enrolled in school.
In addition, out of a total of 65 evacuation shelters with complete information on the distance of educational facilities, 49
shelters are located at less than 1 km from the nearest education facility, 8 are located between 1 km to 2 km from the nearest
education facility and 5 shelters are located at a distance of 3 km to 5 km from the nearest education center.
Access to education services for children
Distance of shelters to the nearest education
facility
1.5%
3.1%
7.7%
Disponible
20.0%
Pas
Disponible
80.0%
5-10Km
12.3%
Less then 1 km
1-2 km
3-5km
More then 10km
75.4%
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Displacement Tracking Matrix (DTM) – Hurricane Matthew Response
Round 3 – December 15, 2016
MODULE 2: Shelter Profiling
FOOD AND NUTRITION
Main source of food
Of the 75 evacuation shelters where information on food sources has been collected, residents in 70 shelters (93.3 %) have
indicated acquiring food on the local market while in 5 shelters the population relies on food distribution (6.7 %).
Main source of food for population living in
open shelters
Second source of food for population living in open
shelters
6.7%
12.3%
Cultures
Distribution
de nourriture
Marché
56.9%
30.8%
Distribution
de nourriture
Marché
93.3%
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Displacement Tracking Matrix (DTM) – Hurricane Matthew Response
Round 3 – December 15, 2016
MODULE 2: Registration
B– Registration Data
A total of 78 out of the 349 profiled evacuation shelters have been registered by IOM teams assisted by communal DPC
volunteers in the departments of Grande Anse, Sud and Nippes. Registration operations are currently ongoing in open
evacuation shelters. This report presents registration information collected in 76 shelters. Data will be updated as it becomes
available.
Demographics
Of the 17,748 individuals registered (3,996 households) in 76 sites, 51.0% are female while the other 49.0% are male. The
majority of the displaced population reported being aged between 18-59 years old, individuals from this group represented
56.7% of registered individuals. A reported 35.4% are minors (aged between 0-17 years old): 7.9% are under the age of 5 and
27.5% are between 5-18 years old. 6.1% are aged 60 and above.
Sex Breakdown
Male
49.0%
Age and Sex Breakdown
65+
60-64
55-59
50-54
45-49
40-44
35-39
30-34
25-29
20-24
18-19
15-17
10-14
5-9
0-4
Female
51.0%
-20%
-10%
Male
Female
0%
10%
20%
Documentation
75.2% of the 3,996 heads of households registered have reported having documentation while 24.8% did not possess any
documentation. The most common ID held is the Carte d’Identité Nationale or CIN (98.1% of households with documentation).
The Numéro d’Identification Fiscale, or NIF, is held by 1.9% of those registered
Documentation status of registered
Documentation held by registered
NIF
1.9%
households
Without
Document
24.8%
With
Document
75.2%
CIN
98.1%
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Displacement Tracking Matrix (DTM) – Hurricane Matthew Response
Round 3 – December 15, 2016
MODULE 2: Registration
Counter trafficking indicators
Of the 3,996 households registered, a reported 7.6% (277 households) have indicated that they had decided to send their
children away. More specifically:
 187 households (67.5%) of theses 277 households intend to place their child with family in another city in Haiti while 46
households (17.0%) intend to place their child with non-family members ( acquaintances or other) in another city in Haiti
 24 households (8.7 %) of the 277 households intend to place their child with relatives living in another country while 19
households (6.9 %) intend to place their child with non-family members (acquaintances or other) in another country.
In addition, 31 households (0.8%) of the 3,996 registered households have reported being offered to place their child in
another home or household. The 31 households have specifically indicated the following:
 22 households (71.0%) of the 31 households have received offers to place their children with family in another city in Haiti
while 8 households (25.8%) have been offered to place their children with non-family members in another city in Haiti.
Households who have decided to place their
children outside of the household
With Family
67.5%
Household who have been offered the possibility to
place children outside of the household
71.0%
With Family
With
Strangers
With Strangers
25.8%
17.0%
8.7%
Other City in the country
6.9%
Outside of the country
Vulnerabilities
Of the 17,748 individuals registered, 3,014 (17.0 %) were
identified as vulnerable. Of the 17,748, 1,395 (7.9 %) are
chronically ill, 479 (2.7%) are elderly and 171 (1.0 %) are
pregnant or lactating women. Furthermore, a reported 14
(0.1%) are presumed to be unaccompanied minors, 13
(0.1%) are orphaned children and 16 (0.1%) are minors who
are separated from their parents or guardians.
3.2%
Other City in the country
0.0%
Outside of the country
Six most common vulnerabilities assessed among registered
households
Single-headed Household
Person with physical disability
Pregnant or lactating woman
Elderly
Other
Chronically ill
87
131
171
479
657
1395
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Displacement Tracking Matrix (DTM) – Hurricane Matthew Response
Round 3 – December 15, 2016
MODULE 2: Registration
House characteristics and location
51.4% of 3,996 households registered have indicated that their residence is located in an urban area (in town) while 48.6% have
indicated that they reside in a rural area (outside of town). 74.8% of 3,996 households have also indicated that their house is
mostly constructed with wood, while 13.0% have indicated that their residence is built with bricks.
House location
House material
2.5%
2.4%
7.4%
Outside of
town/rural
48.6%
In Town
51.4%
Straw
13.0%
Wood
Brick
Concrete
74.8%
Metal sheets
Damage assessment
58.2% of households registered have indicated that their home has been destroyed while 31.4% have indicated that their
home has been severely damaged by the hurricane. 16.2% of respondents have also indicated damage sustained to their land
while 83.8% claim damage to their crops (difference being the prior land had no crops growing while damage to crops includes
also land damage).
Status of homes
Land and Crop Damage Status
1.0%
Land
Destroyed
16.2%
Destroyed
9.4%
Severely
Damaged
31.4%
58.2%
Somewhat
Damaged
No Damage
Crops
Destroyed
83.8%
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Displacement Tracking Matrix (DTM) – Hurricane Matthew Response
Round 3 – December 15, 2016
Ownership of homes
Building and land occupancy
A reported 71.1% of the registered households have indicated
owning their residence while 26.1% have indicated renting their
residence. In parallel, 65.2% of the registered households have
indicated owning their lands while 28.4% have indicated renting
their land.
Furthermore, whether in town or outside of town, the
proportion of the affected population that is owners is higher
than the proportion that is tenants.
39.7%
36.9%
Owner
12.2%
In Town
Tenant
11.2%
Outside of Town/Rural
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Displacement Tracking Matrix (DTM) – Hurricane Matthew Response
Round 3 – December 15, 2016
Aerial image of Jérémie © IOM October2016
The DTM activities in response to Hurricane Matthew are supported by the following donors:
For additional information, please visit our website: http://iomhaitidataportal.info/dtm
or contact the DTM Haiti Team: [email protected]
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